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01/29/2022
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework
Graph convolutional networks (GCNs) allow us to learn topologically-awar...
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01/24/2022
On Evaluation Metrics for Graph Generative Models
In image generation, generative models can be evaluated naturally by vis...
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12/21/2020
Building LEGO Using Deep Generative Models of Graphs
Generative models are now used to create a variety of high-quality digit...
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10/11/2019
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs
As the availability and importance of temporal interaction data–such as ...
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05/28/2019
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks
Interaction graphs, such as those recording emails between individuals o...
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05/27/2018
